---
_id: '13460'
abstract:
- lang: eng
  text: 'Remaining useful lifetime (RUL) predictions as part of a condition monitoring
    system are focused in more and more research and industrial applications. To establish
    an efficient and precise estimate of the RUL of a technical product, different  uncertainties  have  to  be  handled.  To  minimize  the  uncertainties  of  the  RUL  estimation,  a  reliable
    and accurate prognostic approach as well as a good failure threshold are important.
    Regarding the failure threshold, most often  an  expert  sets  a  fixed  failure  threshold.  However,  neither  the  a  priori  known  failure  threshold  nor  a  fixedthreshold
    value are feasible in every application. Especially in the case of varying characteristics
    of the monitored system, an adaptive failure threshold is of great importance
    concerning the accuracy of the RUL estimation.  Rubber-metal-elements, which are
    used in a wide range of applications for vibration and sound isolation, are mon-itored
    by thermocouples to allow for lifetime predictions. Therefore, the element’s state
    is described by its temper-ature during its service life. Aiming to establish
    accurate RUL predictions of a rubber-metal-element, uncertainties due to nonlinear
    material characteristics and changing operational conditions have to be considered.
    Consequently, different temperature-based failure threshold definitions are implemented
    and compared within a particle filtering approach. '
author:
- first_name: Amelie
  full_name: Bender, Amelie
  id: '54290'
  last_name: Bender
- first_name: Lennart
  full_name: Schinke, Lennart
  last_name: Schinke
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Bender A, Schinke L, Sextro W. Remaining useful lifetime prediction based
    on adaptive failure thresholds. In: Beer M, Zio E, eds. <i>Proceedings of the
    29th European Safety and Reliability Conference (ESREL2019)</i>. ; 2019:1262-1269.'
  apa: Bender, A., Schinke, L., &#38; Sextro, W. (2019). Remaining useful lifetime
    prediction based on adaptive failure thresholds. In M. Beer &#38; E. Zio (Eds.),
    <i>Proceedings of the 29th European Safety and Reliability Conference (ESREL2019)</i>
    (Issue 29, pp. 1262–1269).
  bibtex: '@inproceedings{Bender_Schinke_Sextro_2019, title={Remaining useful lifetime
    prediction based on adaptive failure thresholds}, number={29}, booktitle={Proceedings
    of the 29th European Safety and Reliability Conference (ESREL2019)}, author={Bender,
    Amelie and Schinke, Lennart and Sextro, Walter}, editor={Beer, Michael and Zio,
    Enrico}, year={2019}, pages={1262–1269} }'
  chicago: Bender, Amelie, Lennart Schinke, and Walter Sextro. “Remaining Useful Lifetime
    Prediction Based on Adaptive Failure Thresholds.” In <i>Proceedings of the 29th
    European Safety and Reliability Conference (ESREL2019)</i>, edited by Michael
    Beer and Enrico Zio, 1262–69, 2019.
  ieee: A. Bender, L. Schinke, and W. Sextro, “Remaining useful lifetime prediction
    based on adaptive failure thresholds,” in <i>Proceedings of the 29th European
    Safety and Reliability Conference (ESREL2019)</i>, Hannover, 2019, no. 29, pp.
    1262–1269.
  mla: Bender, Amelie, et al. “Remaining Useful Lifetime Prediction Based on Adaptive
    Failure Thresholds.” <i>Proceedings of the 29th European Safety and Reliability
    Conference (ESREL2019)</i>, edited by Michael Beer and Enrico Zio, no. 29, 2019,
    pp. 1262–69.
  short: 'A. Bender, L. Schinke, W. Sextro, in: M. Beer, E. Zio (Eds.), Proceedings
    of the 29th European Safety and Reliability Conference (ESREL2019), 2019, pp.
    1262–1269.'
conference:
  end_date: 2019.09.26
  location: Hannover
  name: '29th European Safety and Reliability Conference '
  start_date: 2019.09.22
date_created: 2019-09-30T08:49:19Z
date_updated: 2023-09-22T07:31:53Z
department:
- _id: '151'
editor:
- first_name: Michael
  full_name: Beer, Michael
  last_name: Beer
- first_name: Enrico
  full_name: Zio, Enrico
  last_name: Zio
issue: '29'
keyword:
- RUL prediction
- adaptive threshold
- prognostics
- condition monitoring
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://rpsonline.com.sg/proceedings/9789811127243/html/0445.xml
oa: '1'
page: 1262-1269
publication: Proceedings of the 29th European Safety and Reliability Conference (ESREL2019)
publication_identifier:
  isbn:
  - 978-981-11-2724-3
publication_status: published
quality_controlled: '1'
status: public
title: Remaining useful lifetime prediction based on adaptive failure thresholds
type: conference
user_id: '54290'
year: '2019'
...